Comparison between ERD/ERS and MP based movement prediction

Different patterns can be recognized in EEG recordings preceding 
the onset of movements. At least two different processes can be 
distinguished: event-related de-synchronization (ERD) and 
synchronization (ERS), and movement related potentials (MP). 
The thesis project will focus on the comparison between 
the prediction of movements based on ERD/ERS and MP. It will 
address the problem of detecting classification differences in 
performance between the two kind of processes, finding a good 
timing for the detection of movements, and trying to understand 
whether it might be convenient to combine both patterns in order 
to predict the movement.
Most part of the work will focus on what concerns ERD/ERS patterns. 
The workflow will contain: literature search for established methods 
to detect movements based on ERD/ERS; implementation in DFKI software 
framework (programming language Python); evaluation and comparison 
with MP based prediction and if applicable evaluation of the 
combination of the two approaches. The work will focus mainly on 
pre-processing and feature generation, but not so much on 
classifiers development. The latter could be taken into account 
if it results required for combining the two kind of patterns.

In der Regel sind die Vorträge Teil von Lehrveranstaltungsreihen der Universität Bremen und nicht frei zugänglich. Bei Interesse wird um Rücksprache mit dem Sekretariat unter sek-ric(at)dfki.de gebeten.

zuletzt geändert am 31.03.2023
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